We turn probabilistic AI systems into structurally deterministic ones
We map raw signals, code, and documents into semantic structures — with explainable decisions, resilient behavior under drift, and deterministic safety boundaries for agentic systems.
OUR TECHNOLOGIES
Detect goal drift while agents execute, and apply lightweight corrections before workflows go off track.
Omega Walls is a stateful runtime trust boundary for AI agents that read untrusted content. It catches distributed, cocktail, and multi-step attacks before they shape context or trigger tools.
OUR OPEN SOURCE
Foundational components we ship publicly — to make the stack reproducible and composable.
Deterministic trust-boundary layer that treats untrusted text as “pressure”, accumulates session risk, and triggers auditable Off decisions.
Blocks prompt injection, secret exfiltration, and tool abuse — with attribution to the exact chunks.
Open source
RAG / Agents
Prompt injection defense
PIF maps any data — tables, images, signals, actions — into a shared phase space. This allows systems to connect modalities, find recurring patterns, and return results back into discrete form.
Open source
Interchange format
Framework
OUR RESEARCH FOUNDATUIN
A research-driven approach to explainability: structure first, semantics as a consequence.
Publication · Feb 22, 2026